Communication in Statistics- Theory and MethodsFeldman M, Even A and Parmet Y. A methodology for quantifying the effect of missing data on decision quality in classification problems. Communications in Statistics - Theory and Methods 2018; 47(11): 2643- 2663. https://doi.org/10.1080/...
Dimensionality reduction has drawn lots of attention in recent years since the processed data in practical applications usually have large dimensions and redundant information, which are not suitable to the classification tasks [9]. Show abstract Research on Feature Extraction and SOH Evaluation Methods ...
1 for closed-set classification. The remaining pre-processing techniques are listed in Table 4. Table 4. Summary of existing work on different pre-processing technique for ASC-continued. Author detailsFindingsMethodology/FunctionalityImplementation/ Evaluation MechanismResultsEvaluation Metric/ ToolsLimitation...
this comprises the consideration and handling of new data types as well as the analysis of complex structures such as text data and webfiles. Whereas the discussion of theoretical, statistical, or algorithmic advances in methodology is a major issue (e.g., in classification and clustering), the...
(which mathematically calculate the relationship between an independent variable and a dependent variable), andclassificationtechniques to identify trends and relationships among variables. Predictive analysis may involvedata mining, which is the process of discovering interesting or useful patterns in large ...
NLP (Natural Language Processing) is an important research direction in the field of computer science and artificial intelligence. In this paper, the idea of using LSTM to fill plant stem water data was inspired by NLP training. In the field of NLP, LSTM makes up for the shortcoming that RN...
Detic - Detector with image classes that can use image-level labels (facebookresearch). EasyCV - Image segmentation, classification, metric-learning, object detection, pose estimation. Image Classification nfnets - Neural network. efficientnet - Neural network. pycls - PyTorch image classification netw...
The methodology of interpretation of qualitative data was explored using a grounded theory approach to the synthesis of data, examining the construction of categories in particular. The focus is on ways of organizing data and attaching meaning, as research problems embedded in cultural context are exp...
Expertise: Microbiology, Metagenomics, Systems biology, Computational biology, Phylogenomics & taxonomic classification of microbes (algorithm development), Next-generation sequencing, RNA-Seq Trey Ideker University of California San Diego, USAExpertise: Computational biology, Biological networks, Functional ...
The Ambulatory Care Classification System which provides data on all services while under the care of the Emergency Department. This included date of the visit, primary diagnostic codes, and resource intensity weight. The resource intensity weight is a measure used in the province to determine the ...